A performance comparison between conventional SSVEP and Emokey based Emotiv EPOC matrix speller

نویسنده

  • S. M. Abdullah Al-Mamun
چکیده

EEG based Brain Computer Interfaces have been explored extensively to improve the performance. For any SSVEP (steady-state visual evoked potential) based BCI system costs a lot and which can be considered as one of the main reason for not spreading this spellers all around the world for clinical and commercial uses. Nowadays, Emotiv EPOC is providing a quality service to overcome this problem. In this study, it is shown that the Emokey based Emotiv EPOC matrix speller can give an improved performance in using conventional BCI systems. Emokey is a feature added by the Emotiv device providers for easy development of input key as different emotional states. For this purpose, Bengali matrix speller based on single Emokey has designed for the first time and compared with the standard SSVEP based Latin matrix speller. The performance was remarkable. In the experiment, Emokay based Bengali matrix speller’s ITR (Information Transfer Rate) was average 29.4 bits/min and 7.43 Char/min achieved for participants. It is also focused in this study that new designed matrix speller interface can be much friendly for using in daily life text writing, internet searching or social site’s integration. It is expected that it will open new enhancement and development chances for BCI users and at the same time for the future researchers. Proceedings IWBBIO 2014. Granada 7-9 April, 2014 1602

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Control a Robot via VEP Using Emotiv EPOC

This thesis describes an SSVEP-based BCI implemented as a practical part of this work. One possible usage of a BCI that efficiently implements a communication channel between the brain and an external device would be to help severely disabled people to control devices that currently require pushing buttons, for example an electric wheelchair. The BCI implemented as a part of this thesis uses wi...

متن کامل

Hybrid SSVEP/P300 BCI Keyboard - Controlled by Visual Evoked Potential

This paper presents a two stage Brain Computer Interface (BCI) keyboard system that consumes Electroencephalography (EEG) signals based on two evoked potential detection methods: P300 and Steady-State Visual Evoked Potential (SSVEP). In order to develop a practical daily use EEG system, signals were captured with a standard low cost Emotiv-EPOC system and processed using OpenViBE platform. Fast...

متن کامل

Development of a Brain Computer Interface (BCI) Speller System Based on SSVEP Signals

BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...

متن کامل

Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI

BACKGROUND Steady-state visual-evoked potential (SSVEP)-based brain-computer interfaces (BCIs) generate weak SSVEP with a monitor and cannot use harmonic frequencies, whereas P300-based BCIs need multiple stimulation sequences. These issues can decrease the information transfer rate (ITR). NEW METHOD In this paper, we introduce a novel hybrid SSVEP-P300 speller that generates dual-frequency S...

متن کامل

A P300-based Quantitative Comparison between the Emotiv Epoc Headset and a Medical Eeg Device

EEG-based systems have been the most widely used in the field of Brain-Computer Interfaces (BCI) for two decades. Plenty of applications have been proposed from games to rehabilitation systems. Until recently, EEG recording devices were too expensive for an end-user. Today, several low-cost alternatives have appeared on the market. The most sophisticated of these low-cost devices is the Emotiv ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014